Presented as part of the WBA AI Advantage Series

Sponsored by: Women's Bar Association of DC

Ready to unlock the power of AI and use it confidently in your day-to-day practice?

Join Lindsay Smith of GC AI for an engaging, hands-on session, where she will break down how you can use legal-specific generative AI for research, contract review and negotiation, and legal operations. Designed for attorneys and legal professionals at all levels, this session offers practical techniques for integrating AI into your everyday work, with confidence.

Lindsay will also share lessons from legal teams adopting these tools, and give a live demonstration of how to do actual AI prompting to get the best results.

Whether you’re a complete beginner or already experimenting with AI tools, you’ll walk away with concrete strategies to boost efficiency, accuracy, and impact in your work!

 

Speaker:

Lindsay Smith, Solutions Attorney (AI Innovation and Implementation), GC AI

 

About the AI Advantage Series

The WBA's AI Advantage Series explores how artificial intelligence can empower lawyers and legal professionals both in and beyond the workplace. Through interactive sessions and expert-led discussions, the series helps members use AI confidently and responsibly to boost efficiency, creativity, and connection.

 

Cost:
Members $0
Non-Members $20

 

Refunds can only be processed for cancellations received more than two business days prior to the event.

The WBA is a nonpartisan organization. The opinions and positions expressed by any program speaker are theirs alone and do not necessarily reflect the views of the WBA.

The WBA regularly hosts programs for the education and enjoyment of its members and guests. The WBA is committed to ensuring that its employees, members, and guests are able to conduct their activities free from harassment or intimidation. The WBA, in its sole discretion, therefore reserves the right to deny access or to remove any attendee.

Demystifying AI: A Hands-On Guide for Legal Professionals

Register Now

  • Thursday Nov 20 2025, 12:00 PM - 1:00 PM
  • Zoom